Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/279

Title: Flexible quantitative risk assessment for developmental toxicity studies
Authors: Faes, Christel
Geys, Helena
Aerts, Marc
Molenberghs, Geert
Keywords: Clustered data
Categorical data
Issue Date: 2001
Citation: Klein, Bjarke & Korsholm, Lars (Ed.) Proceedings of the 16th International Workshop on Statistical Modelling. p. 441-444.
Abstract: Risk assessment for developmental toxicity studies in rodents is faced with the fairly involved data structure of clustere multivariate binary outcomes. While likelihood methods for this setting do not abound, we show that a conditional model, combined with pseudo-likelihood inference and fractional polynomial predictor functions, as proposed by Royston and Altman (1994), are a promising way forward. the methods are illustrated using teratology data collected under the National Toxicology Program.
URI: http://hdl.handle.net/1942/279
Category: C2
Type: Proceedings Paper
Appears in Collections: Research publications

Files in This Item:

There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.